Principal Python Developer

Key Responsibilities

Backend Services & APIs
• Design, implement, and maintain Python-based backend services and APIs (e.g., FastAPI or similar).
• Build robust integrations with systems such as ServiceNow, Splunk, IPAM, DNS, routing/device lookup tools, and other internal platforms.
• Ensure services are built with high reliability, concurrency, and performance in mind.

Data Pipelines & Workflow Orchestration
• Develop and maintain workflows using Prefect (or similar orchestration tools) for:
• Document ingestion and preprocessing (e.g., manuals, internal docs).
• Vectorization pipelines and blob storage management for retrieval.
• Scheduled and event-driven workflows for ticket summarization, alarm correlation, compliance workflows, etc.
• Implement automatic retries, logging, and observability for all workflows.

Integrations & Tooling
• Integrate with a wide range of operational tools (e.g., device lookup, route lookup, trace route, change record lookup).
• Help transition existing “agentic tools” and internal scripts into MCP-based tools and standardized interfaces over time.
• Work with internal tool owners (e.g., networking automation platforms) using APIs, HTML scraping, or direct DB access where needed.

Quality, Reliability & Optimization
• Write clean, well-structured, testable Python code.
• Optimize for I/O, disk operations, and concurrency in a high-volume production environment.
• Contribute to system design for redundancy, fault tolerance, and scalability.